Senior Revenue Systems Analyst

JOB TITLE : Senior Revenue Systems Analyst

LOCATION : San Jose, CA - HYBRID

PAY RANGE : $81-$91 / hr

DURATION : 1 year

TOP SKILLS :

Broad knowledge of technical application of ASC 606 and all other current authoritative literature related to revenue recognition is required, with an emphasis on Software and SAAS principles

Experience and understanding of the Quote to Cash cycle

Experience with data science and ETL tools such as Snaplogic or Python

Interest / experience in cutting-edge Gen AI and other automative tools including Azure AI and relevant Python modules

COMPANY :

Our client a Fortune 500 Software Organization is seeking a Senior Revenue Systems Analyst to bring onto the team.

The Opportunity :

We are seeking an accomplished Sr. Revenue Systems Analyst to help transform accounting operations on SAP's S / 4 HANA platform.

Our candidate has a passion for data driven problem solving and the ability to communicate complex information to broad and multifaceted audiences.

We provide best-in-industry services for measuring results and driving insights for our finance community powered by cutting-edge data science, automation, and AI tools such as Snaplogic, Python, Databricks, and Azure AI.

What you'll do :

Assist with the upgrade of our revenue accounting systems to SAP S / 4 HANA

Support and backfill the Revenue Accounting and Operations (RAO) org's daily tasks

Coordinate with a broad range of teams both internally and externally to document business requirements including RAO, Technology Services (ATS), FP&A, and Legal

Design and test revenue relevant data models in accordance with FASB ASC 606

Support the Company through the final go-live of S / 4 HANA and during the hypercare period

What you need :

Minimum 3-5 years of related experience required (Software industry and / or CPA firm experience preferred)

Broad knowledge of technical application of ASC 606 and all other current authoritative literature related to revenue recognition is required, with an emphasis on Software and SAAS principles

Experience and understanding of the Quote to Cash cycle

Proven record of guiding a project from requirements setting to Production Acceptance Testing (PAT); knowledge of agile methods is preferred

Proven ability to drive large-scale planning processes that involve multiple business partners

Experience with data science and ETL tools such as Snaplogic or Python

Knowledge / understanding of SQL and relational databases.

Interest / experience in cutting-edge Gen AI and other automative tools including Azure AI and relevant Python modules

High attention to detail

Excellent interpersonal skills, ability to lead, set objectives, and seek results

Proven record of delivery and ability to assess and prioritize competing demands

Hands on experience with SAP Order to Cash

Education :

BA / BS in Finance or Accounting

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